Since deep learning has gradually become popular in these years, more and more manufacturers transplant the deep learning models into mobile devices. However, due to the limitations of the size and the cost, the computing resources within a mobile device are not suitable for running a vision transformer. Therefore, reducing the model size is also an important topic for extended usage on mobile devices. Currently, there are only few publications [1]} focus on solving the related issue.
